Ding Liu

12.4k citations

122 papers · 5.7k indexed · 3 hit papers · h-index 32

Impact in

Computer Vision and Pattern Recognition top 0.2%
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Media Technology top 0.1%
- Advanced Image Fusion Techniques
- Image Processing Techniques and Applications

Papers in

Computer Vision and Pattern Recognition 54
- Advanced Image Processing Techniques 24
- Image and Signal Denoising Methods 18
- Advanced Vision and Imaging 13
Media Technology 14
- Image Processing Techniques and Applications 12

Co-authors: Shuicheng Yan Thomas S. Huang Xiaodi Hou Garrison W. Cottrell Pengfei Chen Panqu Wang Zehua Huang Ye Yuan
Journals: IEEE Transactions on Image Processing (5 papers)Natural Resources Research (4 papers)IEEE Access (2 papers)CrystEngComm (2 papers)Dalton Transactions (2 papers)
Partner nations: China United States United Kingdom

In The Last Decade

Ding Liu

113 papers receiving 5.5k citations

Hit Papers

align trajectories log scale

Residual Local Feature Network for Efficient Super-Resolution 2022 · 139 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
2021 IEEE Transactions on Image Processing
2018 Understanding Convolution for Semantic Segmentation

Peers

Countries citing papers authored by Ding Liu

Since Specialization

Citations

This map shows the geographic impact of Ding Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ding Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Liu more than expected).

Fields of papers citing papers by Ding Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ding Liu. The network helps show where Ding Liu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ding Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ding Liu Line = papers co-authored together Ding Liu links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Ultrasmall Cu2−xSe nanoparticles alleviate vascular calcification through inhibiting oxidative stress and NF-κB/NLRP3-mediated inflammation Redox Biology ·Ding Liu, Yuanzhi Ye, Zirong Lan, An Chen, Xingchen Zhou, Zhenhao Li, Xin Wen, Jisheng Xiao, 恵一原, Jianyun Yan	2025	0
2	Diagnosability Verification and Enforcement in Labeled Petri Nets Under Sensor Attacks IEEE Transactions on Systems Man and Cybernetics Systems ·Thomas Harivel, Zhiwu Li, Ding Liu	2025	0
3	Evolution of pore structure in bituminous coal during in-situ supercritical water gasification: Experimental study and mechanistic understanding Energy ·Ding Liu, Hao Xu, Yanpeng Chen, Shida Chen, Fudong Xin, Wu H, 自瑞雪, Jinwei Wang	2025	3
4	Model predictive control for Vienna rectifier with constant frequency based on inductance parameters online identification Journal of the Franklin Institute ·Brenda Sá Senna Prates, Marc Lischka, Hermann Redecker, Ding Liu, Xiangqian Tong, Patrick Wheeler, 李周凤	2024	0
5	Characteristics and Evolution of Water-Occurrence in Coal Based on a New Classification Method Natural Resources Research ·Ding Liu, Hao Xu, Dazhen Tang, Shida Chen, Fudong Xin, Wu H, Qiong Wang, 自瑞雪, 徳康西野	2024	1
6	AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution Proceedings of the AAAI Conference on Artificial Intelligence ·Xiaotong Luo, Val Percival, José Antonio Francchini Ramires, Ding Liu, Yuan Xie, Yanyun Qu, Yun Fu	2024	6
7	Pyramid Attention Network for Image Restoration International Journal of Computer Vision ·Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi	2023	58
8	ShadowFormer: Global Context Helps Shadow Removal Proceedings of the AAAI Conference on Artificial Intelligence ·Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen	2023	37
9	Learning audio sequence representations for acoustic event classification Expert Systems with Applications ·Zixing Zhang, Ding Liu, Jing Han, Kun Qian, Björn W. Schuller	2021	6
10	EnlightenGAN: Deep Light Enhancement Without Paired Supervision IEEE Transactions on Image Processing ·Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Fang Chen, Xiaohui Shen, Shuicheng Yan, Pan Zhou, Zhangyang Wang Hit paper breakdown →	2021	1366
11	Natural Melanin-Based Nanoparticles With Combined Chemo/Photothermal/Photodynamic Effect Induce Immunogenic Cell Death (ICD) on Tumor Frontiers in Bioengineering and Biotechnology ·Ding Liu, Huilin Huang, Bingxia Zhao, Weihong Guo	2021	21
12	Understanding Convolution for Semantic Segmentation Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison W. Cottrell Hit paper breakdown →	2018	1366
13	Survey of Face Detection on Low-Quality Images Yuqian Zhou, Ding Liu, Thomas S. Huang	2018	49
14	A Minimal Supervisory Structure to Optimally Enforce Liveness on Petri Net Models for Flexible Manufacturing Systems IEEE Access ·Maurice Ceccaldi, Zhiwu Li, Murat Uzam, Abdulrahman Al‐Ahmari, Naiqi Wu, Ding Liu, Ting Qu	2017	11
15	Machine Learning by Two-Dimensional Hierarchical Tensor Networks: A Quantum Information Theoretic Perspective on Deep Architectures arXiv (Cornell University) ·Ding Liu, Shi-Ju Ran, Péter Wittek, Erlanda Augupta Pane, Jean-Luc Berchier, Gang Su, Maciej Lewenstein	2017	7
16	Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. arXiv (Cornell University) ·Zhiqiang Shen, Humphrey Shi, Rogério Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang	2017	20
17	Studying Very Low Resolution Recognition Using Deep Networks (unknown), Shiyu Chang, Shuicheng Yan, Ding Liu, Thomas S. Huang	2016	143
18	Deeply Improved Sparse Coding for Image Super-Resolution. arXiv (Cornell University) ·Zhaowen Wang, Ding Liu, Shuicheng Yan, Wei Han, Thomas S. Huang	2015	20
19	ELementary siphons in a class of generalized Petri nets and their application Bai Chunsong, Zhiwu Li, Ding Liu, Mi Zhao	2011	1
20	Study on siltation self-healing watertight structure for super high CFRD Ding Liu	2001	1

About Ding Liu

Ding Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Industrial and Manufacturing Engineering, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 122 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (24 papers), Image and Signal Denoising Methods (18 papers), Advanced Vision and Imaging (13 papers), Petri Nets in System Modeling (12 papers), Image Processing Techniques and Applications (12 papers), Polyoxometalates: Synthesis and Applications (8 papers), Metal-Organic Frameworks: Synthesis and Applications (8 papers) and Flexible and Reconfigurable Manufacturing Systems (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.8k citations), Media Technology (1.5k citations), Industrial and Manufacturing Engineering (319 citations), Signal Processing (342 citations) and Computational Mathematics (14 citations). Ding Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shuicheng Yan, Thomas S. Huang, Xiaodi Hou, Garrison W. Cottrell, Pengfei Chen, Panqu Wang, Zehua Huang, Ye Yuan, Zhangyang Wang and Xiaohui Shen. Their work appears in journals such as IEEE Transactions on Image Processing, Natural Resources Research, IEEE Access, CrystEngComm and Dalton Transactions.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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